This journal publishes research on machine learning, data mining, and knowledge engineering. Topics include federated learning, fake news detection, influence maximization in social networks, out-of-distribution detection, multimodal sarcasm detection, spatio-temporal time series prediction, and workload prediction in cloud platforms. The research often involves developing novel algorithms and frameworks to address challenges in these areas.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Computational Theory and MathematicsQ1
Computer Science ApplicationsQ1
Information SystemsQ1
Subject Classification
Web of Science Categories
Computer Science, Artificial IntelligenceComputer Science, Information SystemsEngineering, Electrical & Electronic
Scopus Categories
Information SystemsComputer Science ApplicationsComputational Theory and Mathematics
Research Topics (OpenAlex)
Data Management and AlgorithmsAdvanced Database Systems and QueriesAdvanced Graph Neural NetworksComplex Network Analysis TechniquesData Mining Algorithms and Applications